{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c93e9a2d",
   "metadata": {},
   "source": [
    "# Multimodal Coding Demo\n",
    "This notebook demonstrates three key capabilities of Qwen3-VL:\n",
    "\n",
    "1. **Image to HTML**: Convert screenshots or sketches into functional HTML code\n",
    "2. **Chart to Code**: Analyze chart images and generate corresponding plotting code  \n",
    "3. **Multimodal Coding Challenges**: Solve programming problems that require visual understanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "56d628bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Please put your provider API key here\n",
    "OPENAI_API_KEY = \"Put your key here\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f9efe054",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Setup complete!\n"
     ]
    }
   ],
   "source": [
    "# Import required libraries\n",
    "import os\n",
    "import json\n",
    "import base64\n",
    "from io import BytesIO\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from openai import OpenAI\n",
    "from IPython.display import HTML, display, Markdown\n",
    "\n",
    "client = OpenAI(\n",
    "    base_url=\"https://dashscope-intl.aliyuncs.com/compatible-mode/v1\",\n",
    "    api_key=OPENAI_API_KEY\n",
    ")\n",
    "\n",
    "def encode_image(image_path):\n",
    "    \"\"\"Encode image to base64 for OpenAI API\"\"\"\n",
    "    with open(image_path, \"rb\") as image_file:\n",
    "        return base64.b64encode(image_file.read()).decode('utf-8')\n",
    "\n",
    "def convert_base64_to_pil_image(base64_str: str) -> Image:\n",
    "    \"\"\"Convert base64 string to PIL Image\"\"\"\n",
    "    image_data = base64.b64decode(base64_str)\n",
    "    image = Image.open(BytesIO(image_data))\n",
    "    return image\n",
    "\n",
    "def show_image(image_path, max_width=1000):\n",
    "    \"\"\"Display image in notebook with size control\"\"\"\n",
    "    img = Image.open(image_path)\n",
    "    if img.width > max_width:\n",
    "        ratio = max_width / img.width\n",
    "        new_height = int(img.height * ratio)\n",
    "        img = img.resize((max_width, new_height))\n",
    "    display(img)\n",
    "\n",
    "def show_pil_image(pil_image, max_width=1000):\n",
    "    \"\"\"Display PIL image in notebook with size control\"\"\"\n",
    "    img = pil_image.copy()\n",
    "    if img.width > max_width:\n",
    "        ratio = max_width / img.width\n",
    "        new_height = int(img.height * ratio)\n",
    "        img = img.resize((max_width, new_height))\n",
    "    display(img)\n",
    "\n",
    "print(\"✅ Setup complete!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "052e5fd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_last_code_block(text):\n",
    "    \"\"\"Extract the last named markdown code block from the text\"\"\"\n",
    "    import re\n",
    "    code_blocks = re.findall(r\"```(?:python|html)(.*?)```\", text, re.DOTALL)\n",
    "    if code_blocks:\n",
    "        return code_blocks[-1].strip()\n",
    "    return None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2e26c63",
   "metadata": {},
   "source": [
    "## 1. Image-to-HTML Conversion\n",
    "\n",
    "Let's start by converting a hand-drawn sketch into functional HTML. We'll use a simple sketch and ask Qwen3-VL-235A22 to generate clean, modern HTML code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7cb3f844",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input image:\n"
     ]
    },
    {
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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1000x941>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "==================================================\n",
      "Generated HTML:\n",
      "==================================================\n",
      "<!DOCTYPE html>\n",
      "<html lang=\"en\">\n",
      "<head>\n",
      "    <meta charset=\"UTF-8\">\n",
      "    <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n",
      "    <title>Banana Oatmeal Chocolate Chip Muffins</title>\n",
      "    <style>\n",
      "        body {\n",
      "            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;\n",
      "            line-height: 1.6;\n",
      "            color: #333;\n",
      "            max-width: 800px;\n",
      "            margin: 0 auto;\n",
      "            padding: 20px;\n",
      "            background-color: #f9f9f9;\n",
      "        }\n",
      "        \n",
      "        .header {\n",
      "            display: flex;\n",
      "            justify-content: center;\n",
      "            gap: 20px;\n",
      "            margin-bottom: 20px;\n",
      "            flex-wrap: wrap;\n",
      "        }\n",
      "        \n",
      "        .btn {\n",
      "            padding: 8px 16px;\n",
      "            border: 1px solid #ccc;\n",
      "            border-radius: 4px;\n",
      "            cursor: pointer;\n",
      "            font-weight: 500;\n",
      "            transition: background-color 0.2s;\n",
      "        }\n",
      "        \n",
      "        .btn-primary {\n",
      "            background-color: #4a4a4a;\n",
      "            color: white;\n",
      "            border-color: #4a4a4a;\n",
      "        }\n",
      "        \n",
      "        .btn-primary:hover {\n",
      "            background-color: #333;\n",
      "        }\n",
      "        \n",
      "        .btn-secondary {\n",
      "            background-color: white;\n",
      "            color: #333;\n",
      "            border-color: #ccc;\n",
      "        }\n",
      "        \n",
      "        .btn-secondary:hover {\n",
      "            background-color: #f0f0f0;\n",
      "        }\n",
      "        \n",
      "        .options {\n",
      "            display: flex;\n",
      "            align-items: center;\n",
      "            justify-content: center;\n",
      "            gap: 20px;\n",
      "            margin-bottom: 20px;\n",
      "            flex-wrap: wrap;\n",
      "        }\n",
      "        \n",
      "        .checkbox-group {\n",
      "            display: flex;\n",
      "            align-items: center;\n",
      "            gap: 8px;\n",
      "        }\n",
      "        \n",
      "        .serving-controls {\n",
      "            display: flex;\n",
      "            align-items: center;\n",
      "            gap: 8px;\n",
      "            background: white;\n",
      "            padding: 8px 12px;\n",
      "            border-radius: 4px;\n",
      "            border: 1px solid #ddd;\n",
      "        }\n",
      "        \n",
      "        .serving-btn {\n",
      "            background: #4a4a4a;\n",
      "            color: white;\n",
      "            border: none;\n",
      "            width: 24px;\n",
      "            height: 24px;\n",
      "            border-radius: 4px;\n",
      "            cursor: pointer;\n",
      "            display: flex;\n",
      "            align-items: center;\n",
      "            justify-content: center;\n",
      "            font-weight: bold;\n",
      "        }\n",
      "        \n",
      "        .serving-input {\n",
      "            width: 40px;\n",
      "            text-align: center;\n",
      "            padding: 4px;\n",
      "            border: 1px solid #ddd;\n",
      "            border-radius: 4px;\n",
      "        }\n",
      "        \n",
      "        .recipe-container {\n",
      "            background: white;\n",
      "            padding: 25px;\n",
      "            border-radius: 8px;\n",
      "            box-shadow: 0 2px 10px rgba(0,0,0,0.05);\n",
      "        }\n",
      "        \n",
      "        h1 {\n",
      "            color: #2c2c2c;\n",
      "            font-size: 28px;\n",
      "            margin-bottom: 10px;\n",
      "            border-bottom: 2px solid #e0e0e0;\n",
      "            padding-bottom: 10px;\n",
      "        }\n",
      "        \n",
      "        .description {\n",
      "            color: #666;\n",
      "            margin-bottom: 20px;\n",
      "            font-style: italic;\n",
      "        }\n",
      "        \n",
      "        .recipe-info {\n",
      "            display: grid;\n",
      "            grid-template-columns: 1fr 1fr;\n",
      "            gap: 10px;\n",
      "            margin-bottom: 20px;\n",
      "        }\n",
      "        \n",
      "        .info-label {\n",
      "            font-weight: 600;\n",
      "        }\n",
      "        \n",
      "        h2 {\n",
      "            color: #2c2c2c;\n",
      "            font-size: 20px;\n",
      "            margin-top: 25px;\n",
      "            margin-bottom: 10px;\n",
      "            border-bottom: 1px solid #e0e0e0;\n",
      "            padding-bottom: 5px;\n",
      "        }\n",
      "        \n",
      "        ul {\n",
      "            padding-left: 20px;\n",
      "            margin-bottom: 20px;\n",
      "        }\n",
      "        \n",
      "        ol {\n",
      "            padding-left: 20px;\n",
      "            margin-bottom: 20px;\n",
      "        }\n",
      "        \n",
      "        li {\n",
      "            margin-bottom: 8px;\n",
      "        }\n",
      "        \n",
      "        .nutrition-info {\n",
      "            font-size: 14px;\n",
      "            margin-bottom: 20px;\n",
      "        }\n",
      "        \n",
      "        .author-link {\n",
      "            color: #007bff;\n",
      "            text-decoration: none;\n",
      "        }\n",
      "        \n",
      "        .author-link:hover {\n",
      "            text-decoration: underline;\n",
      "        }\n",
      "        \n",
      "        .footer {\n",
      "            text-align: center;\n",
      "            margin-top: 30px;\n",
      "            font-size: 14px;\n",
      "            color: #666;\n",
      "        }\n",
      "    </style>\n",
      "</head>\n",
      "<body>\n",
      "    <div class=\"header\">\n",
      "        <button class=\"btn btn-secondary\">Go Back</button>\n",
      "        <button class=\"btn btn-primary\">Print</button>\n",
      "    </div>\n",
      "    \n",
      "    <div class=\"options\">\n",
      "        <div class=\"checkbox-group\">\n",
      "            <input type=\"checkbox\" id=\"recipeImage\">\n",
      "            <label for=\"recipeImage\">Recipe Image</label>\n",
      "        </div>\n",
      "        <div class=\"checkbox-group\">\n",
      "            <input type=\"checkbox\" id=\"notes\" checked>\n",
      "            <label for=\"notes\">Notes</label>\n",
      "        </div>\n",
      "        <div class=\"checkbox-group\">\n",
      "            <input type=\"checkbox\" id=\"nutritionLabel\" checked>\n",
      "            <label for=\"nutritionLabel\">Nutrition Label</label>\n",
      "        </div>\n",
      "    </div>\n",
      "    \n",
      "    <div class=\"options\">\n",
      "        <div class=\"serving-controls\">\n",
      "            <button class=\"serving-btn\">-</button>\n",
      "            <input type=\"text\" class=\"serving-input\" value=\"12\">\n",
      "            <button class=\"serving-btn\">+</button>\n",
      "            <span>- 14 muffins</span>\n",
      "        </div>\n",
      "        \n",
      "        <div>\n",
      "            <button class=\"btn btn-secondary\">Smaller</button>\n",
      "            <button class=\"btn btn-primary\">Normal</button>\n",
      "            <button class=\"btn btn-secondary\">Larger</button>\n",
      "        </div>\n",
      "    </div>\n",
      "    \n",
      "    <div class=\"recipe-container\">\n",
      "        <h1>Banana Oatmeal Chocolate Chip Muffins</h1>\n",
      "        <p class=\"description\">Easy to make grab 'n go banana oatmeal muffins. It's oatmeal in muffin form!</p>\n",
      "        \n",
      "        <div class=\"recipe-info\">\n",
      "            <div class=\"info-label\">Course</div>\n",
      "            <div>Breakfast</div>\n",
      "            <div class=\"info-label\">Cuisine</div>\n",
      "            <div>American</div>\n",
      "            <div class=\"info-label\">Prep Time</div>\n",
      "            <div>10 minutes</div>\n",
      "            <div class=\"info-label\">Cook Time</div>\n",
      "            <div>20 minutes</div>\n",
      "            <div class=\"info-label\">Total Time</div>\n",
      "            <div>30 minutes</div>\n",
      "            <div class=\"info-label\">Servings</div>\n",
      "            <div>12 - 14 muffins</div>\n",
      "            <div class=\"info-label\">Calories</div>\n",
      "            <div>200 kcal</div>\n",
      "            <div class=\"info-label\">Author</div>\n",
      "            <div><a href=\"#\" class=\"author-link\">Linda Warren</a></div>\n",
      "        </div>\n",
      "        \n",
      "        <h2>Ingredients</h2>\n",
      "        <ul>\n",
      "            <li>3 cups old fashioned oats</li>\n",
      "            <li>3 Tablespoons brown sugar</li>\n",
      "            <li>½ teaspoon cinnamon</li>\n",
      "            <li>¼ teaspoon salt</li>\n",
      "        </ul>\n",
      "        \n",
      "        <h2>Instructions</h2>\n",
      "        <ol>\n",
      "            <li>Preheat oven to 350 degrees. Spray a 12-cup muffin pan with a non-stick spray.</li>\n",
      "            <li>Combine dry ingredients in a large bowl.</li>\n",
      "            <li>In a medium bowl, mash bananas and whisk with the remaining ingredients except for chocolate chips.</li>\n",
      "            <li>Add the banana mixture to the dry ingredients.</li>\n",
      "        </ol>\n",
      "        \n",
      "        <h2>Notes</h2>\n",
      "        <h3>STORE/FREEZE/REHEAT</h3>\n",
      "        \n",
      "        <p><strong>To Store:</strong> Allow the muffins to cool completely. Place them in an airtight container at room temperature for up to 3 days or in the refrigerator for up to 1 week.</p>\n",
      "        \n",
      "        <p><strong>To Freeze:</strong> Allow the muffins to cool completely.</p>\n",
      "        \n",
      "        <p><strong>To Reheat:</strong> Microwave the muffins for about 30 seconds if thawed or 1 minute if frozen, or until heated through.</p>\n",
      "        \n",
      "        <h2>Nutrition</h2>\n",
      "        <div class=\"nutrition-info\">\n",
      "            Calories: 200 kcal | Carbohydrates: 28 g | Protein: 6 g | Fat: 7 g | Saturated Fat: 3 g | Polyunsaturated Fat: 1 g | Monounsaturated Fat: 3 g | Trans Fat: 0.02 g | Cholesterol: 33 mg | Sodium: 82 mg | Potassium: 284 mg | Fiber: 3 g | Sugar: 12 g | Vitamin A: 135 IU | Vitamin C: 2 mg | Calcium: 107 mg | Iron: 1 mg\n",
      "        </div>\n",
      "    </div>\n",
      "    \n",
      "    <div class=\"footer\">\n",
      "        Banana Oatmeal Chocolate Chip Muffins https://2cookinmamas.com/banana-oatmeal-muffins/\n",
      "    </div>\n",
      "</body>\n",
      "</html>\n"
     ]
    }
   ],
   "source": [
    "# Display the sketch image\n",
    "# You can also try converting a screenshot back to HTML\n",
    "input_image_path = \"assets/multimodal_coding/screenshot_demo.png\"\n",
    "# input_image_path = \"assets/multimodal_coding/sketch2code_input.jpeg\"\n",
    "print(\"Input image:\")\n",
    "show_image(input_image_path)\n",
    "\n",
    "def sketch_to_html(image_path):\n",
    "    \"\"\"Convert sketch to HTML using Qwen3-VL-235A22\"\"\"\n",
    "    base64_image = encode_image(image_path)\n",
    "    \n",
    "    response = client.chat.completions.create(\n",
    "        model=\"qwen3-vl-235b-a22b-instruct\",\n",
    "        messages=[\n",
    "            {\n",
    "                \"role\": \"user\",\n",
    "                \"content\": [\n",
    "                    {\n",
    "                        \"type\": \"image_url\",\n",
    "                        \"image_url\": {\n",
    "                            \"url\": f\"data:image/jpeg;base64,{base64_image}\"\n",
    "                        }\n",
    "                    },\n",
    "                    {\n",
    "                        \"type\": \"text\",\n",
    "                        # Feel free to modify the prompt to get different styles of HTML\n",
    "                        \"text\": \"\"\"Analyze this screenshot and convert it to clean, functional and modern HTML code. \"\"\"\n",
    "                    },\n",
    "                ]\n",
    "            }\n",
    "        ],\n",
    "        max_tokens=16384,\n",
    "        temperature=0.8,\n",
    "    )\n",
    "    \n",
    "    response_text = response.choices[0].message.content\n",
    "    code = extract_last_code_block(response_text)\n",
    "    if code is None:\n",
    "        raise ValueError(\"No code block found in the response.\")\n",
    "    return code\n",
    "\n",
    "# Generate HTML from sketch\n",
    "html_code = sketch_to_html(input_image_path)\n",
    "print(\"\\n\" + \"=\"*50)\n",
    "print(\"Generated HTML:\")\n",
    "print(\"=\"*50)\n",
    "print(html_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c52fe907",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the generated HTML to a file\n",
    "output_html_path = \"image2code_output.html\"\n",
    "with open(output_html_path, \"w\") as f:\n",
    "    f.write(html_code)\n",
    "\n",
    "# You can open the generated HTML file in a browser to see the result"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e475b186",
   "metadata": {},
   "source": [
    "(Optional) The following block install playwright to take a clean screenshot of the generated page. You may need sudo to install the dependencies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0925c19c",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install playwright\n",
    "!playwright install-deps\n",
    "!playwright install chromium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a1b7491e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Screenshot of the generated webpage:\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1000x1232>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Call take_screenshot.py to take a screenshot of the generated HTML\n",
    "os.system(f\"python utils/multimodal_coding/take_screenshot.py --html {output_html_path} --png webpage_screenshot.png\")\n",
    "\n",
    "print(\"Screenshot of the generated webpage:\")\n",
    "show_image(\"webpage_screenshot.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e7a4f1e",
   "metadata": {},
   "source": [
    "## 2. Chart-to-Code\n",
    "\n",
    "Now let's analyze a chart image and generate the corresponding matplotlib code to recreate it using Qwen3-VL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "32091a9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input chart:\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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ur6L3x2zxxxV2gAooooAKKKKAOf8AA/8AyJWk/wDXAfzNFHgf/kStJ/64D+ZooA6CiiigAooooAKKKKAKWp6vp+jW6z6hdR28bNtUt1Y9cADk8Amm2ms2F/eva2s4lkWCO5ygypjkLBSG6HOw1j+IhLZ+I9F1drO5urS2juYpVtoWleNpAm1ti5JHyMuQON3pmuG07QNas76OW8066bSBaQteWUSHe6mad1QY+9sDrujHJGOvQgHsFYPhH/kFXf8A2FL7/wBKpK0r6G7uLMJp92lpLkESPB5gA9NpIrBsPDviDTYJIYPEkG155Zzu00E7pHZ2/j6ZY0AdVRXP/wBmeJv+hktv/BYP/jlH9meJv+hktv8AwWD/AOOUAdBRXP8A9meJv+hktv8AwWD/AOOUf2Z4m/6GS2/8Fg/+OUAUPEH/ACF5P91f5Vl1qXXhTXLyczS+JId5AHy6cMf+h1D/AMIVrH/QyR/+C9f/AIuu2GIgopM8yphKkpuS6lGtDRP+Qxb/AFP/AKCaztG8M67qWlx3U+uJbyOzgxnThxtcqOr9wAfxrUtvCWt2twk8fiSLeucZ04Y6Y/v05YiDi0Kng6kZps1vE3/HhF/11H8jXLVt3nh/xDfRLHN4kg2htw26aBz/AN9+9Uv+EK1j/oZI/wDwXr/8XUUa0YRszTEYadSfNEo0HpRH4Y119dubA66ghitoplm/s4fMztICv38cBFP/AAKrv/CFax/0Mkf/AIL1/wDi61+swMPqVXyOrP8AyCP+2H/stcOOldB/Y/iTyPJ/4SS22bdn/INHTGP+elZn/CFax/0Mkf8A4L1/+LrCjVjC9zqxOHnUty9ClRSXvhjXbbUdNto9cSSO6ldJJP7OH7sCNmB+/wByoHPrV/8A4QrWP+hkj/8ABev/AMXW31mBy/Uqvkbfhn/kHy/9dT/IVi61/wAhi4+o/wDQRVyz8P8AiGxiaOHxJBtLbju00Hn/AL79qr3PhLW7q4eeTxJFvfrjThjpj+/WMKsVUcnszqqUJyoxgt0ZlFO1Xwrrlho99eQ69HPLb28kqRDTh87KpIXh++MVZi8G6zJCjnxHGpZQSP7OXj/x+tvrMDl+pVfIs+H/APkLp/uN/KtDxR/qrb/eb+QrPtPCmuWc4mi8SQ7wCPm04Ec/8DqW98Oa/fqgm8SQYQkjbpoH/s9YyqxdVS6HVHDzVB0+rMair3/CFax/0Mkf/gvX/wCLqhp3hjXb2W/SXXEiFtdGBCdOH7xQqnd9/wBWI/CtvrMDl+pVfIWu41L/AJBVz/1yb+Vcp/whWsf9DJH/AOC9f/i605tH8STwPE/iS22upU400dP+/lY1asZtNdDqw+HnTjJS6nP0Ve/4QrWP+hkj/wDBev8A8XVCfwxrsWt2diuuo0M8M0jzf2cPkKGMAffxzvP/AHzW31mBy/UqvkLXaaL/AMgi3/3T/M1zP/CFax/0Mkf/AIL1/wDi60bfRfEdrbpDH4kt9iDAzpoz/wCjKxr1YzjZHThcPOnJuRlan/yFLr/roaq1ozeD9anmeV/EkW5zuONOH/xdZuteGdd0zRrq9g1xLiWFNyxDTh859OHrWOIgkkYSwdRybFroPC/+suvov9azf+EK1j/oZI//AAXr/wDF1asvDWv2Bcw+JIPnxndpoPT/AIH71NWvGUGkaUMLUhUUmT+KP9Za/Rv6VgVsXvhrX78oZvEkHyZxt04Dr/wOqv8AwhWsf9DJH/4L1/8Ai6KVeEYJMK+FqTqOSKNW9M/5Clr/ANdBVTSvDGu39tNLNrqQNHczwhTpw5VJGRW5fuFB/GtGHwhrUE6TJ4ki3IcjOnDH/odVLEQaaM4YOopJnZUVz/8AZnib/oZLb/wWD/45R/Znib/oZLb/AMFg/wDjlcJ6p0FFc/8A2Z4m/wChktv/AAWD/wCOUf2Z4m/6GS2/8Fg/+OUAdBRXP/2Z4m/6GS2/8Fg/+OUf2Z4m/wChktv/AAWD/wCOUAdBXKal/wAhGf8A3qt/2Z4m/wChktv/AAWD/wCOVSm8L67PM0r+JIdzHJxpw/8Ai68TPcvrY6jGFG1076+jOnDVY05NyK9FVtZ8P+INN0S/voNciuJre3eVIRpw/eMqkheHzzjFXf8AhEtb/wChki/8Fw/+Lr5f/VjHf3fv/wCAdv12mXtD/wCQgf8AcP8ASrPiDpb/APAv6VnW3hvX7WXzIvEkG7GOdOH/AMXT7rw/4gvNnm+JIPlzjGmgdf8Agde5TyjERyqeEdudu++m6f6HM68HXVToUqKk/wCES1v/AKGSL/wXD/4uqOl6B4gv0uzNrkUJhupIFB04fOqnAbl+9eH/AKsY7+79/wDwDp+u0zRsv+P63/66L/OuqnmWCB5WBIUZIFcrH4V1yKVZF8SQ7lIIzpw/+Lq3No/iSaJon8SW21hg400f/HK+iybLsTgcPUhK3M9vuOTEVoVJJrYvf29bf885fyH+NH9vW3/POX8h/jWH/wAIlrf/AEMkX/guH/xdUpPD/iBNdtrAa5EYZbaWZpv7OHysjRgL9/HIdj/wGs+TPf5of18h3w3ZnU/29bf885fyH+NaMEqzwpKoIDDIBrkv+ES1v/oZIv8AwXD/AOLq9Fo/iSGJY08SW21RgZ00f/HK9DL45ipv644tW0t3Mqro2/dnR0Vz/wDZnib/AKGS2/8ABYP/AI5R/Znib/oZLb/wWD/45XqmB0FFc/8A2Z4m/wChktv/AAWD/wCOUf2Z4m/6GS2/8Fg/+OUAdBRXP/2Z4m/6GS2/8Fg/+OUf2Z4m/wChktv/AAWD/wCOUATeIf8AV2/+8f6Vg1oXfh/xDehRL4kg+U5G3TR/8XVX/hENa/6GSL/wXL/8XXDWw85zckediMLUqVHKJDRVfTvD3iC9lv1l1yOEW10YEJ04fvFCqd33/ViPwq9/wiGtf9DJF/4Ll/8Ai6z+qVDH6lV8jqb/AP5B1x/1zP8AKuQrVl0jxJNE8TeJLbawIONNH/xyqH/CIa1/0MkX/guX/wCLrfEUZVGnE6sVh51ZJxIaKrz+HvEEWt2diuuxtDPBNI839nD5ChjAH38c7z/3zV7/AIRDWv8AoZIv/Bcv/wAXWH1Socv1Kr5HQaH/AMg0f75rPu9WvIryaNHUKrkD5RUdtofiK0h8qPxJb7ck86aP/i6rS+FNcmleRvEkO5jk404f/F10yp1PZxjF6o7J0qvsoxg7NE/9tX3/AD0X/vgUf21ff89F/wC+BWPrXh7xBpmj3V7BrkdxLCm5Yhpw+Y+nD1e/4RDWv+hki/8ABcv/AMXWPsq/834mHsMT/N+Ju6PfT3jTCZgdoGMDHrWrXLWnh3xBZFzF4kg+fGd2mjt/wOrP9meJv+hktv8AwWD/AOOV10lJRSludtGMowSnudBRXP8A9meJv+hktv8AwWD/AOOUf2Z4m/6GS2/8Fg/+OVoanQUVz/8AZnib/oZLb/wWD/45R/Znib/oZLb/AMFg/wDjlAHQVU1T/kEXv/XB/wD0E1lf2Z4m/wChktv/AAWD/wCOUyfR/ElxBJC/iS32SKUbGmjOCMf89KTV1YqDtJNnDUVvf8K91L/oZV/8AF/+LqhdeC9Yg1ews010PFcrKXl+wD93tAI/i75/SvP+qzPo/wC1cP5/cUK7vwb/AMgV/wDru38hWF/wr3Uv+hlX/wAAF/8Ai61NP8N6/plsYLfxJBsLFvn04E5P/A/atqNGUJXZx47HUq9Lkhe5z2vf8h69/wCun9BWdXSXXgbVry6kuJfEieZIctt09QP/AEOsvWfBWsabol9fQa6Lia3geVIRp4/eMqkheGzzWcsNNybOilmdCMIxd9EjPrf8H/8AIcP/AFxb+YpP+Fe6l/0Mq/8AgAv/AMXVrT/Bus6Zc/aLfxJHv2lfn08EYP8AwP2p08POMk2TiMyo1KUoRvdom8b9LH/tp/7LXI11upeFdc1XyvtPiSH93nbs04Drj/b9qof8K91L/oZV/wDABf8A4uqq0Jzm5IjB5hRo0Ywle6/zMGnR/wCtT/eH86u6X4L1i/S6abXRCYbqSBQbAfOqnAblu9aA+H2pqwI8SrkHP/Hgv/xdZ/VpnQ81w/n9x1fiD/kAXv8A1zNea1211ofiK8tZLeXxJb+XINrbdNAP/oysf/hXupf9DKv/AIAL/wDF1tXoynJNHDl+NpUKbjO+5g0VoSeCtYTXbewGugwy20szTf2ePlZGjAX72OQ5P/Aavf8ACvdS/wChlX/wAX/4usPqszv/ALVw/n9x1ug/8gGy/wCuQrz/AFX/AJC97/13f/0I11lroniK0tY7eLxJb7I12rnTRnH/AH8rKn8B6rcXEk7+JE3yMXbGnrjJOf79dFWlKUUl0PNwmLp0q05y2f8Amc7RV/WPBesabpj3UGui4kV41EYsByGdVJ4bsCT+FX/+Fe6l/wBDKv8A4AL/APF1z/VZnpf2rh/P7jR8Efdvvqn/ALNTvFmo3lleW621w8StGSQvc5qPTfCuuaUJRbeJIf3mN2/Tgemf9v3pupeEdb1WWOS58SRbkXaNmnAcf9910+zmqXKtzzPrNF4t1pK8fTyMX+3dV/5/5vzFH9u6r/z/AM35irv/AAr3Uv8AoZV/8AF/+LqjpHgvWNRsDcTa6IH8+aPYdPHRJGQHlu4UH8ax9jW7/id317Bfy/gi/ousajcazaxS3krxs+GUkYPBrva4e08DatZXUdzF4kTzIzld2nqR/wCh1sf2Z4m/6GS2/wDBYP8A45XRRhKKtI8zHVqVWadJWVu1joKK5/8AszxN/wBDJbf+Cwf/AByj+zPE3/QyW3/gsH/xytjiOgorn/7M8Tf9DJbf+Cwf/HKP7M8Tf9DJbf8AgsH/AMcoAPA//IlaT/1wH8zRWhoel/2LolnpvnGf7PGE8wrt3e+O1FAGhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRUN1d21lCZrq4igiBxvlcKM/U0AR6jqNtpVhLe3cmyCIZY4yTk4AHuSQKo6P4js9Ylnt1DW97A7JLbSkb1xjngkEcjoeOh5rn/ABRfX1rqshMazafc2u2JpVaS36EshVerudoBPbpWj4Z8NDTVtrmSSTbFBstLVlANqr4LIWHLnPGT2HrzQB09FFFABWHa+LdJu9SWySfYZM+RLJhUuCG2nyyT83PHv2pvi6PUn0Vm00uTG2+ZI5Wjd0CnhWUEg5weOTjHeuS8MeG5NRedzcRNpryRGWRLcqblkwwKFuUG772BgnOMEmgD0uiiigArG1bxPp2jXAhuWcsArSlFyIFZgqs57Ak4FbNeYRaHrt74iyIpGNpcTFNQvY921tzFUK5HmR7TkN1UnA70AelwTxXMCTQSpLE4yrowZWHqCKkqlpGmRaRpkVlExcJklyANzEkk4HA5J4q7QAVT1LU7bSrUT3Bb5mEccaDLyOeiqO5NO1DUINMtvPn3kFgiJGpZnY9FUDqTXB6nqUGqRWs2pah5+mahLLEtrFGFkgdQTHsx8/m8Hvzk44oA7bSNasdbtTPZTKxU4kjJG+M5IwwHQ8GtCsDw74fk0pmuLmaOW4MKW6eVCIlWJCSoIHVuSSfyrfoAKKK5XxF4jVdFW+0fULF4obwQ3TyEPHjkFCQflJbaM89elAGvZeIdM1C+ks7a5Dypk8ggOAcEqTwwB44rTrzjw/4c/tRre/itTZ2XmrIIbxGN1aGNuIUJ4WMnnjpkjnPHo9ABRRVXUY7yazaKxmSCZyF8113bF7kDucdM8ZoAoX3ijS9O1BbO4mKtuVJJcfu4WYZVXbopPYVsI6yIrowZWGQwOQRXAWvh+fUpnkW5jTXdNlNrczXMQkW5jI+SRk6F9jDDfUdK7bTrGLTNNtrGEsYreNY1LnJIAxzQBaooqnqWq2GjwJPqF1HbRPIsSvIcAsegoAZqmrW+kwRvKHklmcRwQRjLyuedqj6An2ANM0XXbDXrIXNjOrjA3pkbkJ7MB0rkfENld3aqby8g1LTr5hEsCvtO53AUwbQSGRATuJOcnoK6fQtDk0ozTXV0tzdyqsZkSIRKI0yEAUcA4PJ9T2GBQBs0UUyaaO3heaZ1jijUs7scBQOpNACySJFG8kjBUQFmY9AB1NYOmeMNM1O/FmrPBJIqvb+dhfPRskFee4UnBwcc4rM1jV31TS9S1DS9Vnto9NtGnMJg2M7bd6l/MHMZUY46888U/RfD1lczrqFk0sOktcfa47Rogu+UdJAeuzuF47HpxQB2FFFFABRRRQAUUUUAFFFFABUVzcw2dtJcXEixwxjc7seAKLibyIGkC7iOi5AyfxriL/U73xHdz2drLH9imjH2aErgXQH38uRmORT2I4x3oA6zSNZs9btmms3f5GKSRyIUdD6Mp5HqK0K53R/Dk+na7c6pcXz3Mk0KxFmUBmx03YAHHQcdzXRUAFFFcl4h8RTRn7JZymBkcNczRgO8cGSPMQEYbBGGxnbQBrJ4l02TWjpQlbzslVcoRGzjqgboWHpWvXEp4Qu9Qhja7vio+2i6KxnKMevmoMZVm9MkDJOK7agAoorK1rWU0mEljGGKHazsdqseFL4GQmerdqADWfEFloaI1yJpC3zFIIy7KgIDOQP4RnJrRgniureOeCRZYZFDI6HIYHoQa4jTNO1TW5I7u5v7iOaON4pjhY5beU4LRqQpV4myCD14BBz06jw9o6aDosGnRsGWPJ+UYUEknCjsBnigDTooooAKKKKACiiigAooooAKzbbXbK61y60eIyG8tUDzKUICg/d5759vSquua9HYwXMVrie5gj8yeKJh5sURyDIq/wAW3rj+uAcjQ9HGr2GnvfWlsbaCHMN3BdOXuSxyWyMHYwAJVs5J9qAOzooooAKy9a1+z0EWpvBLi6mEEZRMjeem49FHuas3+p2emRLJd3EcIdgqlzxkkAZ9BkjnoM1x9sb/AFrWNWhm0+zklZY7W7iunLC3Tqdoxh0cfMMYOTz0oA7uiqun6da6XaC1s4ykQJPzOWJJ7kkkk/WrVABUV1cLaWstw4YrGpYhRkkD0p8kiRRtJIwVFGSxOAK4vWNZbVb7S47JYJ7WW4D25dmCTyJu3xSADKMPvDIIyvODQB02jaxba5psV/a7xDKTsEg2twccjqPoea0KyNJ0eO2mfUbm1to9Snz5rQZ2gE5wM9+mTgZxWvQAUUUUAFFFFABRRRQAUUVma1r1noVqJ7rzXBzhYU3NgdTj2/qB1NAC6xrtjoVus160mGzhY0LtgdTgdun5itBHWRA69CM15/ZWl54lvrKWe5+0WqSS3Ud9BkNCSdqAbhtB4wU2kgjJIPXurGyg0+zjtbdSI4xgbmJJPUkk9STyTQBYoopksqQxPLK6pGgLMzHAAHUmgAlljgieWV1SNAWZmOAAOpNVdN1Wy1eGSaxnEqRv5bnaRtbAODkehH51yGs+In1cXSaTJHd2UduYprcM0cplc4UFdu7kH5SMDOSTxXQ+HtA/saBd9zNM/lhFV8ARr1PA4LEnJY8mgDbooooAKpxarYTajJp8d3E93GMvEG+YDjP8x+dZGt+IlSX+ztKuYJNTEg3w71DLGMbyu4gEgEZGeM5xWb4Y0eS8uZdbM8sEM9y8ogHzbhk4CycExFssBgZJ6kYoA7WiiigArM1bX7HRTEt20paUgKsUZc8kAHA9yB+NR654isdChR7kysXBIEMZcgZA3EDtkgepzxXLaXpl7r99Z3F5dGWOGB5Y9StXIJaQ4wrMMYK54AGzpnOaAO/BBGQcilqK1tobO1itrdNkUShUXOcAVLQAVFcXENpbyXFxIscUalndjwBRc3MNnbSXFxIscMalndjwBXCa1rc2vJeRaawu7B1W1EMbtFMsxbkFdu4MMcE4UYOaAO20/UrTVbX7TZS+bFuKbsEYYHBGD6GrVZWiaIujQspuZLhyqoCwCqqr0CqOB1JJ6knmtWgAoorldc8SxvdLpGl3ka6iZRuDkoGRfvhHKlSw4yOTjPegDat9c0661SXTYbkPdRqWZApxgEA84wcEgH3rQrjvDOhNPI+s3D3EBuLhrj7KGIViCQrZI37MfMEPAJJxXY0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWP4h0mbUoLeW1MJurSTzYo7hd0UnBUq3BwCCeRyK2KKAMLw1pVzpto63C+QvmuYLRJi6QI2PlzgZwQcemcCt2iigAooooAKKKKACiiigAooooAKKKKAGuiyKVYAg1j6Z4ctdP1C4vPJtgzlVhSKEIsKKCFx6thjlvfFbVFABRRRQAVz994a83V7S706caegwt4sKj9+i8ouCMAg/xdQMgdeOgooAKKKKACuV/snU9D1OGHQy01jeMTcrdSswt26mVWOSS3Tb0zzxg11VFADI4/LRV3FmAALt1b3NPoqrqF79gtGnEEs75CpFEuWZicAegHueBQBFrGrQaNYi4mVnLyLFFGvBkkY4VcngZPc8Vzl1q8fi/RnsLCFlvmJPLDFsyMdsuTw67lGCMg/SuduNXOvvqBK3lxLIyiKyGZ4JIz8hhdV4XJVyJOPXPBFd1onh5NHZpGu57qQRiCJpsZihH3Yxjrj16mgBPD3hux0S0iaK2WO6ZAZ23FsyHliO3JJ5AFbdFNkkSGJ5JGCogLMx6ADqaAHVyfi/VtV0m6sXto7eeyuA0LW8kLOZZjgomR93cAwBIIzjNZXifVZNa0+2n06722zI7PbiQpNsPC3AVTuZVGW2cZ4J6YrZ0Cz/ti3N/qYa7AkUWc0qlN8akMkmzPynd36kAUALp+l6jfa1Jql8hsbeSCOOSwDK+913j5mHBTD8DuRzXT9BgUUUAFFFFABRRRQAUUUUAFRyzxwlRI2C+Qox1wM1m6/wCILTw/ZrLP88sjbIogeWPqT/CozkseAK5m/k1vU76bS737KwZQ9vAi4ju485LLJ1R14x9M96AKOqXt/wCI57e+0eOe3E8irEWYSRXIik3bXUjEMo2kgn6Gu40rSV04TSu4murht80ojCbj/ujgcd+9Jo2jppUUjFzLdTYM8xGDKRwCQON2MAkdcZNadABTXdY0Z2OFUZJ9qZcXENpbSXFxIscMSlndjgKB1NcXeeJNU1GyGoWDfZNMExiuGEe65t1B/wBYUPQHj5SMgc/QAt+I9XW8nbSrW2nmaOIXbSwTeXKoDcNEMYdlIOV/A9aXwvoF0lnazatci6aB3ltv3KR43HIcYAZSQTlT/hU2heHDDKLu+ETOshkiSL7gc9ZV7ruB5XpnmunoAKKK5jUfEc0+rvo2jtCt6iMwmuVIikdcZiU/xN/ewflBHXsAXdd8Q2+kWbNhXmMqQBXJVEZ8AM7YO1ORlsY7da5jRNC1SbWbkPNc2dmsRt5bZwkvlndv2q7qfMiYMSDwV5B9pNO0m+1+4hur6dmeMNFdLNEqyRNkeZAQBtkhcHjPTgg5ruLa3itLaK2gTZDEgRFyThQMAc0AFvbxWltHbwII4YlCIg6KB0FS0UUAFFFFABRRRQAUUUUAFcx4l168tJFg0hoZLiGRDcxyLyyH+CMkgGUjkL3H4UvijW9R06N7W0tlSW4QLaXLuAjSZ5jJxhHI+4TwTx9aWleHY9V23127TwOYpY5riAR3bBSf3UxwPusByME9OgyQA0HQLLUrFhdwNdWUc7y2c9wjxXB3klw+cEjJxnvjkcV2QAUAAAAdAKWigArP1fUotOtAXk2SzN5UOF3fORwceg5J9gafqt1dWVi1xaWZu3QgvErYYpn5tvqcdB3rjdPivfEt6001wJ4xN5oWWHzLSSE8K0eR+7mQjlTznOcgjAAmj/btZ1aC4vPKubloXgvgEL2M0BbhoH557YPJwc4wK7bT9Ns9KtRbWUCww5LbQSeT3yeaTTdOg0qwjtLfcUUklnOWdicsxPqSSat0AFNkkWKNpHYKiAsxPYCnHODjrXB3up6pqurQ2Ev2mweEFJ4bU7n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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1000x664>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "==================================================\n",
      "Generated Matplotlib Code:\n",
      "==================================================\n",
      "import matplotlib.pyplot as plt\n",
      "\n",
      "# Data for the bar chart\n",
      "model_variants = [\n",
      "    \"0.6B\", \"8B\", \"4B\", \"32B\", \"14B\", \"1.7B\", \"30B-A3B\", \"235B-A22B\",\n",
      "    \"4B-Thinking\", \"30B-A3B-Thinking\", \"235B-A22B-Thinking\",\n",
      "    \"4B-Instruct\", \"30B-A3B-Instruct\", \"235B-A22B-Instruct\",\n",
      "    \"4B-Base\", \"14B-Base\", \"1.7B-Base\", \"8B-Base\", \"30B-A3B-Base\", \"0.6B-Base\"\n",
      "]\n",
      "downloads = [\n",
      "    5520, 2100, 1250, 1150, 1090, 938, 431, 151,\n",
      "    310, 200, 61,\n",
      "    1240, 1140, 94,\n",
      "    559, 228, 195, 160, 130, 102\n",
      "]\n",
      "model_types = [\n",
      "    \"Hybrid\", \"Hybrid\", \"Hybrid\", \"Hybrid\", \"Hybrid\", \"Hybrid\", \"Hybrid\", \"Hybrid\",\n",
      "    \"Thinking\", \"Thinking\", \"Thinking\",\n",
      "    \"Instruct\", \"Instruct\", \"Instruct\",\n",
      "    \"Base\", \"Base\", \"Base\", \"Base\", \"Base\", \"Base\"\n",
      "]\n",
      "\n",
      "# Define colors for each model type\n",
      "colors = {\n",
      "    \"Hybrid\": \"#87CEEB\",\n",
      "    \"Thinking\": \"#FFD700\",\n",
      "    \"Instruct\": \"#90EE90\",\n",
      "    \"Base\": \"#FF6347\"\n",
      "}\n",
      "\n",
      "# Create the bar chart\n",
      "plt.figure(figsize=(14, 8))\n",
      "\n",
      "# Plot bars with corresponding colors\n",
      "for i, variant in enumerate(model_variants):\n",
      "    plt.bar(i, downloads[i], color=colors[model_types[i]], label=model_types[i])\n",
      "\n",
      "# Customize the chart\n",
      "plt.title(\"Downloads of Qwen3 Model Variants by Type\")\n",
      "plt.xlabel(\"Model Variant\")\n",
      "plt.ylabel(\"Downloads (k)\")\n",
      "plt.xticks(range(len(model_variants)), model_variants, rotation=45, ha=\"right\")\n",
      "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
      "\n",
      "# Add value labels on top of bars\n",
      "for i, (variant, download) in enumerate(zip(model_variants, downloads)):\n",
      "    plt.text(i, download + 20, f\"{download}k\", ha='center', va='bottom', fontsize=9)\n",
      "\n",
      "# Add legend with unique entries\n",
      "handles, labels = plt.gca().get_legend_handles_labels()\n",
      "by_label = dict(zip(labels, handles))\n",
      "plt.legend(by_label.values(), by_label.keys(), loc='upper right')\n",
      "\n",
      "# Adjust layout to prevent clipping\n",
      "plt.tight_layout()\n",
      "\n",
      "# Show the plot\n",
      "plt.show()\n"
     ]
    }
   ],
   "source": [
    "# Display the chart image\n",
    "chart_path = \"chart2code_input.png\"\n",
    "print(\"Input chart:\")\n",
    "show_image(chart_path)\n",
    "\n",
    "def chart_to_matplotlib(image_path):\n",
    "    \"\"\"Convert chart to matplotlib code using Qwen3-VL-235A22\"\"\"\n",
    "    base64_image = encode_image(image_path)\n",
    "    \n",
    "    response = client.chat.completions.create(\n",
    "        model=\"qwen3-vl-235b-a22b-instruct\",\n",
    "        messages=[\n",
    "            {\n",
    "                \"role\": \"user\",\n",
    "                \"content\": [\n",
    "                    {\n",
    "                        \"type\": \"text\",\n",
    "                        \"text\": \"\"\"Convert this chart image to Python matplotlib code that can reproduce the chart.\"\"\"\n",
    "                    },\n",
    "                    {\n",
    "                        \"type\": \"image_url\",\n",
    "                        \"image_url\": {\n",
    "                            \"url\": f\"data:image/png;base64,{base64_image}\"\n",
    "                        }\n",
    "                    }\n",
    "                ]\n",
    "            }\n",
    "        ],\n",
    "        max_tokens=16384,\n",
    "        temperature=0.8\n",
    "    )\n",
    "    \n",
    "    response_text = response.choices[0].message.content\n",
    "    code = extract_last_code_block(response_text)\n",
    "    if code is None:\n",
    "        raise ValueError(\"No code block found in the response.\")\n",
    "    return code\n",
    "\n",
    "# Generate matplotlib code from chart\n",
    "matplotlib_code = chart_to_matplotlib(chart_path)\n",
    "print(\"\\n\" + \"=\"*50)\n",
    "print(\"Generated Matplotlib Code:\")\n",
    "print(\"=\"*50)\n",
    "print(matplotlib_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abdf7aba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing generated code...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Execute the generated matplotlib code\n",
    "# =====================================\n",
    "ALLOW_DANGEROUS_CODE = False # Set to True to enable execution\n",
    "# =====================================\n",
    "print(\"Executing generated code...\")\n",
    "try:\n",
    "    if not ALLOW_DANGEROUS_CODE:\n",
    "        raise RuntimeError(\"Execution of generated code is disabled for safety. Set ALLOW_DANGEROUS_CODE = True to enable.\")\n",
    "    # Execute the generated code\n",
    "    exec(matplotlib_code)\n",
    "    plt.show()\n",
    "except Exception as e:\n",
    "    print(f\"Error executing code: {e}\")\n",
    "    print(\"You may need to adjust the generated code slightly.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26e7a0eb",
   "metadata": {},
   "source": [
    "## 3. Multimodal Coding Challenges\n",
    "\n",
    "[MMCode](https://github.com/likaixin2000/MMCode) is a benchmark for evaluating multimodal programming problems. Let's download the test set and try solving some problems with the powerful Qwen3-VL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "539151fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading MMCode test set...\n",
      "Downloaded to mmcode_test.jsonl.gz\n",
      "✅ Loaded 263 problems\n",
      "Total problems available: 0 to 262\n"
     ]
    }
   ],
   "source": [
    "# Download and load MMCode test set\n",
    "import gzip\n",
    "import urllib.request\n",
    "\n",
    "def download_mmcode_testset():\n",
    "    \"\"\"Download MMCode test set from HuggingFace\"\"\"\n",
    "    url = \"https://huggingface.co/datasets/likaixin/MMCode/resolve/main/mmcode_test.jsonl.gz?download=true\"\n",
    "    local_path = \"mmcode_test.jsonl.gz\"\n",
    "    \n",
    "    print(\"Downloading MMCode test set...\")\n",
    "    try:\n",
    "        urllib.request.urlretrieve(url, local_path)\n",
    "        print(f\"Downloaded to {local_path}\")\n",
    "        return local_path\n",
    "    except Exception as e:\n",
    "        print(f\"Download failed: {e}\")\n",
    "        return None\n",
    "\n",
    "def load_mmcode_problems(file_path):\n",
    "    \"\"\"Load problems from the downloaded JSONL file and convert images to PIL\"\"\"\n",
    "    problems = []\n",
    "    try:\n",
    "        with gzip.open(file_path, 'rt') as f:\n",
    "            for line in f:\n",
    "                problem = json.loads(line)\n",
    "                \n",
    "                # Convert base64 images to PIL Images (images are guaranteed to exist)\n",
    "                pil_images = []\n",
    "                for img_base64 in problem['images']:\n",
    "                    try:\n",
    "                        pil_img = convert_base64_to_pil_image(img_base64)\n",
    "                        pil_images.append(pil_img)\n",
    "                    except Exception as e:\n",
    "                        print(f\"Warning: Failed to decode image: {e}\")\n",
    "                        continue\n",
    "                problem['images'] = pil_images\n",
    "                \n",
    "                problems.append(problem)\n",
    "                \n",
    "        print(f\"✅ Loaded {len(problems)} problems\")\n",
    "        return problems\n",
    "    except Exception as e:\n",
    "        print(f\"❌ Failed to load problems: {e}\")\n",
    "        return []\n",
    "    \n",
    "# Interactive problem selection and display\n",
    "def display_problem(problems, problem_index):\n",
    "    \"\"\"Display a specific MMCode problem with proper formatting and image-text interleaving\"\"\"\n",
    "    if not problems or problem_index >= len(problems):\n",
    "        print(f\"❌ Invalid problem index. Available: 0-{len(problems)-1}\")\n",
    "        return None\n",
    "    \n",
    "    problem = problems[problem_index]\n",
    "    \n",
    "    print(\"=\"*60)\n",
    "    print(f\"PROBLEM {problem_index}: {problem.get('problem_id', 'Unknown')}\")\n",
    "    print(\"=\"*60)\n",
    "    \n",
    "    # Display problem statement with image-text interleaving\n",
    "    print(\"\\n📝 PROBLEM STATEMENT:\")\n",
    "    print(\"-\" * 40)\n",
    "    \n",
    "    question_text = problem.get('question', 'No question found')\n",
    "    \n",
    "    # Get images (guaranteed to exist per user specification)\n",
    "    images = problem.get('images', [])\n",
    "    \n",
    "    # Split the question text and interleave with images\n",
    "    import re\n",
    "    segments = re.split(r\"!\\[image\\]\\(.*?\\)\", question_text)\n",
    "    \n",
    "    for i, segment in enumerate(segments):\n",
    "        # Print text segment\n",
    "        if len(segment.strip()) > 0:\n",
    "            print(segment.strip())\n",
    "        \n",
    "        # Display corresponding image if available\n",
    "        if i < len(images):\n",
    "            show_pil_image(images[i], max_width=500)\n",
    "            print()  # Add spacing after image\n",
    "    \n",
    "    # Display starter code if available\n",
    "    if problem.get('starter_code'):\n",
    "        print(\"\\n💻 STARTER CODE:\")\n",
    "        print(\"-\" * 40)\n",
    "        print(problem['starter_code'])\n",
    "    \n",
    "    # Display test cases info\n",
    "    if problem.get('input_output'):\n",
    "        try:\n",
    "            io_data = json.loads(problem['input_output'])\n",
    "            if 'inputs' in io_data and 'outputs' in io_data:\n",
    "                print(f\"\\n🧪 TEST CASES: {len(io_data['inputs'])} available\")\n",
    "                print(\"-\" * 40)\n",
    "                # Show first test case as example\n",
    "                if io_data['inputs'] and io_data['outputs']:\n",
    "                    print(f\"Example - Input: {io_data['inputs'][0]}\")\n",
    "                    print(f\"Example - Output: {io_data['outputs'][0]}\")\n",
    "        except:\n",
    "            pass\n",
    "    \n",
    "    return problem\n",
    "\n",
    "\n",
    "# Download and load the test set\n",
    "test_file = download_mmcode_testset()\n",
    "problems = load_mmcode_problems(test_file)\n",
    "print(f\"Total problems available: 0 to {len(problems)-1}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1681bb8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "============================================================\n",
      "PROBLEM 6: cf_1092_F\n",
      "============================================================\n",
      "\n",
      "📝 PROBLEM STATEMENT:\n",
      "----------------------------------------\n",
      "You are given a tree consisting exactly of $$$n$$$ vertices. Tree is a connected undirected graph with $$$n-1$$$ edges. Each vertex $$$v$$$ of this tree has a value $$$a_v$$$ assigned to it.\n",
      "Let $$$dist(x, y)$$$ be the distance between the vertices $$$x$$$ and $$$y$$$. The distance between the vertices is the number of edges on the simple path between them.\n",
      "Let's define the cost of the tree as the following value: firstly, let's fix some vertex of the tree. Let it be $$$v$$$. Then the cost of the tree is $$$\\sum\\limits_{i = 1}^{n} dist(i, v) \\cdot a_i$$$.\n",
      "Your task is to calculate the maximum possible cost of the tree if you can choose $$$v$$$ arbitrarily.\n",
      "\n",
      "Input\n",
      "The first line contains one integer $$$n$$$, the number of vertices in the tree ($$$1 \\le n \\le 2 \\cdot 10^5$$$).\n",
      "The second line of the input contains $$$n$$$ integers $$$a_1, a_2, \\dots, a_n$$$ ($$$1 \\le a_i \\le 2 \\cdot 10^5$$$), where $$$a_i$$$ is the value of the vertex $$$i$$$.\n",
      "Each of the next $$$n - 1$$$ lines describes an edge of the tree. Edge $$$i$$$ is denoted by two integers $$$u_i$$$ and $$$v_i$$$, the labels of vertices it connects ($$$1 \\le u_i, v_i \\le n$$$, $$$u_i \\ne v_i$$$).\n",
      "It is guaranteed that the given edges form a tree.\n",
      "\n",
      "Output\n",
      "Print one integer — the maximum possible cost of the tree if you can choose any vertex as $$$v$$$.\n",
      "\n",
      "Examples\n",
      "Input\n",
      "8\n",
      "9 4 1 7 10 1 6 5\n",
      "1 2\n",
      "2 3\n",
      "1 4\n",
      "1 5\n",
      "5 6\n",
      "5 7\n",
      "5 8\n",
      "\n",
      "\n",
      "Output\n",
      "121\n",
      "\n",
      "\n",
      "Input\n",
      "1\n",
      "1337\n",
      "\n",
      "\n",
      "Output\n",
      "0\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "Note\n",
      "Picture corresponding to the first example:\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=392x392>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "You can choose the vertex $$$3$$$ as a root, then the answer will be $$$2 \\cdot 9 + 1 \\cdot 4 + 0 \\cdot 1 + 3 \\cdot 7 + 3 \\cdot 10 + 4 \\cdot 1 + 4 \\cdot 6 + 4 \\cdot 5 = 18 + 4 + 0 + 21 + 30 + 4 + 24 + 20 = 121$$$.\n",
      "In the second example tree consists only of one vertex so the answer is always $$$0$$$.\n",
      "\n",
      "🧪 TEST CASES: 65 available\n",
      "----------------------------------------\n",
      "Example - Input: 8\n",
      "9 4 1 7 10 1 6 5\n",
      "1 2\n",
      "2 3\n",
      "1 4\n",
      "1 5\n",
      "5 6\n",
      "5 7\n",
      "5 8\n",
      "\n",
      "Example - Output: 121\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Select a problem to work with\n",
    "# =====================================\n",
    "PROBLEM_INDEX = 6  # Change this to select different problems (0-263)\n",
    "# =====================================\n",
    "\n",
    "selected_problem = display_problem(problems, PROBLEM_INDEX)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "374c6fa9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🔄 Generating solution...\n",
      "\n",
      "==================================================\n",
      "🤖 GENERATED SOLUTION:\n",
      "==================================================\n",
      "import sys\n",
      "sys.setrecursionlimit(300000)\n",
      "\n",
      "n = int(input())\n",
      "a = list(map(int, input().split()))\n",
      "\n",
      "if n == 1:\n",
      "    print(0)\n",
      "else:\n",
      "    # Build adjacency list\n",
      "    adj = [[] for _ in range(n)]\n",
      "    for _ in range(n - 1):\n",
      "        u, v = map(int, input().split())\n",
      "        u -= 1  # Convert to 0-indexed\n",
      "        v -= 1\n",
      "        adj[u].append(v)\n",
      "        adj[v].append(u)\n",
      "    \n",
      "    # Arrays to store results\n",
      "    subtree_sum = [0] * n  # Sum of a[i] in subtree rooted at i\n",
      "    cost = [0] * n  # Cost when vertex i is chosen as root\n",
      "    \n",
      "    # First DFS: Calculate cost for root (vertex 0) and subtree sums\n",
      "    def dfs1(u, p, depth):\n",
      "        subtree_sum[u] = a[u]\n",
      "        cost[0] += depth * a[u]  # Cost for root (vertex 0)\n",
      "        \n",
      "        for v in adj[u]:\n",
      "            if v != p:\n",
      "                dfs1(v, u, depth + 1)\n",
      "                subtree_sum[u] += subtree_sum[v]\n",
      "    \n",
      "    # Second DFS: Reroot the tree to calculate cost for each vertex\n",
      "    def dfs2(u, p):\n",
      "        for v in adj[u]:\n",
      "            if v != p:\n",
      "                # When moving from u to v, cost changes by:\n",
      "                # total_sum - 2 * subtree_sum[v]\n",
      "                cost[v] = cost[u] + (sum(a) - 2 * subtree_sum[v])\n",
      "                dfs2(v, u)\n",
      "    \n",
      "    # Run first DFS from vertex 0\n",
      "    dfs1(0, -1, 0)\n",
      "    \n",
      "    # Run second DFS for rerooting\n",
      "    dfs2(0, -1)\n",
      "    \n",
      "    # Find maximum cost\n",
      "    max_cost = max(cost)\n",
      "    print(max_cost)\n"
     ]
    }
   ],
   "source": [
    "def generate_prompt(problem):\n",
    "    \"\"\"Generate prompt following MMCode's format\"\"\"\n",
    "    prompt = \"\\nQUESTION:\\n\"\n",
    "    prompt += problem[\"question\"]\n",
    "    starter_code = problem[\"starter_code\"] if len(problem.get(\"starter_code\", [])) > 0 else None\n",
    "    try:\n",
    "        input_output = json.loads(problem[\"input_output\"])\n",
    "        fn_name = None if not input_output.get(\"fn_name\") else input_output[\"fn_name\"]\n",
    "    except ValueError:\n",
    "        fn_name = None\n",
    "\n",
    "    if (not fn_name) and (not starter_code):\n",
    "        call_format = \"\\nPlease write your code using Standard IO, i.e. input() and print().\"\n",
    "        prompt += call_format\n",
    "    else:\n",
    "        call_format = \"\\nPlease write your code using Call-Based format.\"\n",
    "        prompt += call_format\n",
    "\n",
    "    if starter_code:\n",
    "        prompt += \"\\nThe starter code is provided as below. Please finish the code.\\n\" + starter_code + \"\\n\"\n",
    "\n",
    "    prompt += \"\\nANSWER:\\n\"\n",
    "    return prompt\n",
    "\n",
    "def solve_mmcode_problem(problem):\n",
    "    \"\"\"Solve an MMCode problem using Qwen3-VL with correct image interleaving\"\"\"\n",
    "    if not problem:\n",
    "        return \"No problem selected.\"\n",
    "    \n",
    "    # Generate prompt following MMCode format\n",
    "    prompt = (\n",
    "        \"You are required to solve a programming problem. \"\n",
    "        + \"Please enclose your code inside a ```python``` block. \"\n",
    "        + \" Do not write a main() function. If Call-Based format is used, return the result in an appropriate place instead of printing it.\\n\\n\"\n",
    "        + generate_prompt(problem)\n",
    "    )\n",
    "    \n",
    "    # Convert all images to base64 (images are guaranteed to exist)\n",
    "    base64_images = []\n",
    "    for pil_image in problem['images']:\n",
    "        buffered = BytesIO()\n",
    "        pil_image.save(buffered, format=\"PNG\")\n",
    "        img_base64 = base64.b64encode(buffered.getvalue()).decode()\n",
    "        base64_images.append(img_base64)\n",
    "\n",
    "    interleaved_messages = []\n",
    "    \n",
    "    # Split the prompt and interleave text and images (following MMCode's approach)\n",
    "    import re\n",
    "    segments = re.split(r\"!\\[image\\]\\(.*?\\)\", prompt)\n",
    "    for i, segment in enumerate(segments):\n",
    "        # Text\n",
    "        if len(segment) > 0:\n",
    "            interleaved_messages.append({\"type\": \"text\", \"text\": segment})\n",
    "        # Image\n",
    "        if i < len(base64_images):\n",
    "            interleaved_messages.append(\n",
    "                {\n",
    "                    \"type\": \"image_url\",\n",
    "                    \"image_url\": {\n",
    "                        \"url\": f\"data:image/png;base64,{base64_images[i]}\",\n",
    "                    },\n",
    "                }\n",
    "            )\n",
    "    \n",
    "    try:\n",
    "        response = client.chat.completions.create(\n",
    "            model=\"pre-qwen3vl-235A22-instruct-0918-model\",\n",
    "            messages=[\n",
    "                {\n",
    "                    \"role\": \"system\",\n",
    "                    \"content\": [\n",
    "                        {\n",
    "                            \"type\": \"text\",\n",
    "                            \"text\": \"You are a professional programming contester trying to solve algorithmic problems. The problems come with a description and some images, and you should write a Python solution.\",\n",
    "                        }\n",
    "                    ],\n",
    "                },\n",
    "                {\"role\": \"user\", \"content\": interleaved_messages},\n",
    "            ],\n",
    "            max_tokens=16384,\n",
    "            temperature=0.1\n",
    "        )\n",
    "        raw_response = response.choices[0].message.content\n",
    "        code = extract_last_code_block(raw_response)\n",
    "        if code is None:\n",
    "            raise ValueError(\"No code block found in the response.\")\n",
    "        return code\n",
    "    except Exception as e:\n",
    "        return f\"Error generating solution: {e}\"\n",
    "\n",
    "# Generate solution for the selected problem\n",
    "print(\"\\n🔄 Generating solution...\")\n",
    "solution_code = solve_mmcode_problem(selected_problem)\n",
    "print(\"\\n\" + \"=\"*50)\n",
    "print(\"🤖 GENERATED SOLUTION:\")\n",
    "print(\"=\"*50)\n",
    "print(solution_code)\n",
    "\n",
    "# Save solution to solution.txt\n",
    "with open(\"solution.txt\", \"w\") as f:\n",
    "    f.write(solution_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "30d5bc46",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/cpfs02/users/likaixin/projects/3vl-demo/mmcode_test.jsonl.gz\n",
      "✅ Loaded 263 problems\n",
      "263\n",
      "\n",
      "🧪 TESTING SOLUTION with MMCode framework:\n",
      "--------------------------------------------------\n",
      "📝 Testing code...\n",
      "start = 18:50:37.850957\n",
      "loaded input_output = 18:50:37.851107\n",
      "loading test code = 18:50:37.851115\n",
      "sol = import sys\n",
      "import time\n",
      "import itertools\n",
      "from itertools import accumulate, product, permutations, combinations\n",
      "import collections\n",
      "from collections import Counter, OrderedDict, deque, defaultdict, ChainMap\n",
      "from functools import lru_cache\n",
      "import math\n",
      "from math import sqrt, sin, cos, tan, ceil, fabs, floor, gcd, exp, log, log2\n",
      "import fractions\n",
      "from typing import List, Tuple\n",
      "import numpy as np\n",
      "import random\n",
      "import heapq\n",
      "from heapq import *\n",
      "import sys\n",
      "stdin = sys.stdin\n",
      "stdout = sys.stdout\n",
      "def code():\n",
      "\tsys.setrecursionlimit(300000)\n",
      "\t\n",
      "\tn = int(input())\n",
      "\ta = list(map(int, input().split()))\n",
      "\t\n",
      "\tif n == 1:\n",
      "\t    print(0)\n",
      "\telse:\n",
      "\t    # Build adjacency list\n",
      "\t    adj = [[] for _ in range(n)]\n",
      "\t    for _ in range(n - 1):\n",
      "\t        u, v = map(int, input().split())\n",
      "\t        u -= 1  # Convert to 0-indexed\n",
      "\t        v -= 1\n",
      "\t        adj[u].append(v)\n",
      "\t        adj[v].append(u)\n",
      "\t    \n",
      "\t    # Arrays to store results\n",
      "\t    subtree_sum = [0] * n  # Sum of a[i] in subtree rooted at i\n",
      "\t    cost = [0] * n  # Cost when vertex i is chosen as root\n",
      "\t    \n",
      "\t    # First DFS: Calculate cost for root (vertex 0) and subtree sums\n",
      "\t    def dfs1(u, p, depth):\n",
      "\t        subtree_sum[u] = a[u]\n",
      "\t        cost[0] += depth * a[u]  # Cost for root (vertex 0)\n",
      "\t        \n",
      "\t        for v in adj[u]:\n",
      "\t            if v != p:\n",
      "\t                dfs1(v, u, depth + 1)\n",
      "\t                subtree_sum[u] += subtree_sum[v]\n",
      "\t    \n",
      "\t    # Second DFS: Reroot the tree to calculate cost for each vertex\n",
      "\t    def dfs2(u, p):\n",
      "\t        for v in adj[u]:\n",
      "\t            if v != p:\n",
      "\t                # When moving from u to v, cost changes by:\n",
      "\t                # total_sum - 2 * subtree_sum[v]\n",
      "\t                cost[v] = cost[u] + (sum(a) - 2 * subtree_sum[v])\n",
      "\t                dfs2(v, u)\n",
      "\t    \n",
      "\t    # Run first DFS from vertex 0\n",
      "\t    dfs1(0, -1, 0)\n",
      "\t    \n",
      "\t    # Run second DFS for rerooting\n",
      "\t    dfs2(0, -1)\n",
      "\t    \n",
      "\t    # Find maximum cost\n",
      "\t    max_cost = max(cost)\n",
      "\t    print(max_cost)\n",
      "\n",
      "get method = 18:50:37.855080\n",
      "time: 18:50:37.855106 testing index = 0  inputs = 8\n",
      "9 4 1 7 10 1 6 5\n",
      "1 2\n",
      "2 3\n",
      "1 4\n",
      "1 5\n",
      "5 6\n",
      "5 7\n",
      "5 8\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['121'], test outputs = 121\n",
      "\n",
      "time: 18:50:37.857200 testing index = 1  inputs = 1\n",
      "1337\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.858301 testing index = 2  inputs = 2\n",
      "12345 65432\n",
      "2 1\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['65432'], test outputs = 65432\n",
      "\n",
      "time: 18:50:37.860568 testing index = 3  inputs = 2\n",
      "12345 65432\n",
      "2 1\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['65432'], test outputs = 65432\n",
      "\n",
      "time: 18:50:37.861512 testing index = 4  inputs = 1\n",
      "617\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.862518 testing index = 5  inputs = 8\n",
      "9 4 1 7 10 1 1 5\n",
      "1 2\n",
      "2 3\n",
      "1 4\n",
      "1 5\n",
      "5 6\n",
      "5 7\n",
      "5 8\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['101'], test outputs = 101\n",
      "\n",
      "time: 18:50:37.863505 testing index = 6  inputs = 8\n",
      "9 4 1 7 10 1 1 10\n",
      "1 2\n",
      "2 3\n",
      "1 4\n",
      "1 5\n",
      "5 6\n",
      "5 7\n",
      "5 8\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['121'], test outputs = 121\n",
      "\n",
      "time: 18:50:37.864496 testing index = 7  inputs = 8\n",
      "9 4 1 8 10 1 1 10\n",
      "1 2\n",
      "2 3\n",
      "1 4\n",
      "1 5\n",
      "5 6\n",
      "5 7\n",
      "5 8\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['124'], test outputs = 124\n",
      "\n",
      "time: 18:50:37.865545 testing index = 8  inputs = 8\n",
      "9 3 1 8 10 1 1 10\n",
      "1 2\n",
      "2 3\n",
      "1 4\n",
      "1 5\n",
      "5 6\n",
      "5 7\n",
      "5 8\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['123'], test outputs = 123\n",
      "\n",
      "time: 18:50:37.866525 testing index = 9  inputs = 1\n",
      "662\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.867455 testing index = 10  inputs = 1\n",
      "678\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.868345 testing index = 11  inputs = 1\n",
      "623\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.869271 testing index = 12  inputs = 1\n",
      "146\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.870243 testing index = 13  inputs = 1\n",
      "47\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.871235 testing index = 14  inputs = 1\n",
      "39\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.872938 testing index = 15  inputs = 1\n",
      "11\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.873828 testing index = 16  inputs = 1\n",
      "10\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.874668 testing index = 17  inputs = 1\n",
      "2\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.875635 testing index = 18  inputs = 1\n",
      "3\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.876559 testing index = 19  inputs = 1\n",
      "6\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.877524 testing index = 20  inputs = 1\n",
      "0\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.878446 testing index = 21  inputs = 1\n",
      "-1\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.879368 testing index = 22  inputs = 1\n",
      "-2\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.880277 testing index = 23  inputs = 1\n",
      "-4\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.881151 testing index = 24  inputs = 1\n",
      "1\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.882072 testing index = 25  inputs = 1\n",
      "20\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.882973 testing index = 26  inputs = 1\n",
      "30\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.884613 testing index = 27  inputs = 1\n",
      "29\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.885572 testing index = 28  inputs = 1\n",
      "37\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.886358 testing index = 29  inputs = 1\n",
      "33\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.887283 testing index = 30  inputs = 1\n",
      "4\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.888158 testing index = 31  inputs = 1\n",
      "-3\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.888989 testing index = 32  inputs = 1\n",
      "5\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.889821 testing index = 33  inputs = 1\n",
      "-5\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.890660 testing index = 34  inputs = 1\n",
      "-9\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.891549 testing index = 35  inputs = 1\n",
      "-6\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.892376 testing index = 36  inputs = 1\n",
      "7\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.893173 testing index = 37  inputs = 1\n",
      "8\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.894050 testing index = 38  inputs = 1\n",
      "15\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.894932 testing index = 39  inputs = 1\n",
      "22\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.896524 testing index = 40  inputs = 1\n",
      "36\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.897440 testing index = 41  inputs = 1\n",
      "-8\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.898299 testing index = 42  inputs = 1\n",
      "-12\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.899103 testing index = 43  inputs = 1\n",
      "-15\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.899931 testing index = 44  inputs = 1\n",
      "-16\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.900846 testing index = 45  inputs = 1\n",
      "-7\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.901682 testing index = 46  inputs = 1\n",
      "-14\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.902599 testing index = 47  inputs = 1\n",
      "-21\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.903436 testing index = 48  inputs = 1\n",
      "-13\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.904325 testing index = 49  inputs = 1\n",
      "-24\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.905212 testing index = 50  inputs = 1\n",
      "-19\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.906124 testing index = 51  inputs = 1\n",
      "-10\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.907748 testing index = 52  inputs = 1\n",
      "9\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.919353 testing index = 53  inputs = 1\n",
      "14\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.920229 testing index = 54  inputs = 1\n",
      "26\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.921057 testing index = 55  inputs = 1\n",
      "27\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.921997 testing index = 56  inputs = 1\n",
      "12\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.922882 testing index = 57  inputs = 1\n",
      "24\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.923728 testing index = 58  inputs = 1\n",
      "-11\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.924565 testing index = 59  inputs = 1\n",
      "-20\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.925442 testing index = 60  inputs = 1\n",
      "-26\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.926304 testing index = 61  inputs = 1\n",
      "-18\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.927155 testing index = 62  inputs = 1\n",
      "-25\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.928011 testing index = 63  inputs = 1\n",
      "1337\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['0'], test outputs = 0\n",
      "\n",
      "time: 18:50:37.929619 testing index = 64  inputs = 8\n",
      "9 4 1 7 10 1 6 5\n",
      "1 2\n",
      "2 3\n",
      "1 4\n",
      "1 5\n",
      "5 6\n",
      "5 7\n",
      "5 8\n",
      ", <class 'str'>. type = CODE_TYPE.standard_input\n",
      "==> output = ['121'], test outputs = 121\n",
      "\n",
      "\n",
      "📊 DETAILED RESULTS:\n",
      "✅ Test 1: PASSED\n",
      "✅ Test 2: PASSED\n",
      "✅ Test 3: PASSED\n",
      "✅ Test 4: PASSED\n",
      "✅ Test 5: PASSED\n",
      "✅ Test 6: PASSED\n",
      "✅ Test 7: PASSED\n",
      "✅ Test 8: PASSED\n",
      "✅ Test 9: PASSED\n",
      "✅ Test 10: PASSED\n",
      "✅ Test 11: PASSED\n",
      "✅ Test 12: PASSED\n",
      "✅ Test 13: PASSED\n",
      "✅ Test 14: PASSED\n",
      "✅ Test 15: PASSED\n",
      "✅ Test 16: PASSED\n",
      "✅ Test 17: PASSED\n",
      "✅ Test 18: PASSED\n",
      "✅ Test 19: PASSED\n",
      "✅ Test 20: PASSED\n",
      "✅ Test 21: PASSED\n",
      "✅ Test 22: PASSED\n",
      "✅ Test 23: PASSED\n",
      "✅ Test 24: PASSED\n",
      "✅ Test 25: PASSED\n",
      "✅ Test 26: PASSED\n",
      "✅ Test 27: PASSED\n",
      "✅ Test 28: PASSED\n",
      "✅ Test 29: PASSED\n",
      "✅ Test 30: PASSED\n",
      "✅ Test 31: PASSED\n",
      "✅ Test 32: PASSED\n",
      "✅ Test 33: PASSED\n",
      "✅ Test 34: PASSED\n",
      "✅ Test 35: PASSED\n",
      "✅ Test 36: PASSED\n",
      "✅ Test 37: PASSED\n",
      "✅ Test 38: PASSED\n",
      "✅ Test 39: PASSED\n",
      "✅ Test 40: PASSED\n",
      "✅ Test 41: PASSED\n",
      "✅ Test 42: PASSED\n",
      "✅ Test 43: PASSED\n",
      "✅ Test 44: PASSED\n",
      "✅ Test 45: PASSED\n",
      "✅ Test 46: PASSED\n",
      "✅ Test 47: PASSED\n",
      "✅ Test 48: PASSED\n",
      "✅ Test 49: PASSED\n",
      "✅ Test 50: PASSED\n",
      "✅ Test 51: PASSED\n",
      "✅ Test 52: PASSED\n",
      "✅ Test 53: PASSED\n",
      "✅ Test 54: PASSED\n",
      "✅ Test 55: PASSED\n",
      "✅ Test 56: PASSED\n",
      "✅ Test 57: PASSED\n",
      "✅ Test 58: PASSED\n",
      "✅ Test 59: PASSED\n",
      "✅ Test 60: PASSED\n",
      "✅ Test 61: PASSED\n",
      "✅ Test 62: PASSED\n",
      "✅ Test 63: PASSED\n",
      "✅ Test 64: PASSED\n",
      "✅ Test 65: PASSED\n",
      "\n",
      "📈 SUMMARY:\n",
      "✅ Passed: 65\n",
      "❌ Failed: 0\n",
      "💥 Errors: 0\n",
      "⏱️  Timeouts: 0\n",
      "📋 Total: 65\n",
      "\n",
      "🎯 FINAL SCORE: 65/65 (100.0%)\n",
      "🏆 PERFECT: All tests passed!\n"
     ]
    }
   ],
   "source": [
    "# =====================================\n",
    "ALLOW_EXTERNAL_EXECUTION = False # Set to True to enable execution\n",
    "# =====================================\n",
    "if not ALLOW_EXTERNAL_EXECUTION:\n",
    "    raise RuntimeError(\"Execution of generated code is disabled for safety. Set ALLOW_EXTERNAL_EXECUTION = True to enable.\")\n",
    "\n",
    "\n",
    "# Test the generated solution using real MMCode evaluation\n",
    "if selected_problem and solution_code:\n",
    "    # Call test_mmcode.py to run the evaluation outside the notebook context to avoid problems\n",
    "    os.system(f\"python utils/multimodal_coding/test_mmcode.py --problem_index {PROBLEM_INDEX} --solution_file solution.txt\")\n",
    "else:\n",
    "    print(\"No solution to evaluate.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "148f9d6d",
   "metadata": {},
   "source": [
    "The Qwen3-VL-235B-A22B-Instruct model achieves an accuracy of ~37.6% on the MMCode test set."
   ]
  }
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